Foveated Path Tracing with Configurable Sampling and Block-Based Rendering

TL;DR

This paper introduces a foveated path tracing method that improves rendering speed by focusing computational effort on central vision areas, achieving significant performance gains with minimal perceptual quality loss.

Contribution

It presents a novel dynamic foveated path tracing approach that leverages visual perception to optimize rendering efficiency for complex scenes.

Findings

Up to 25-fold performance improvement at 4K resolution

Minimal perceptual degradation in image quality

Effective validation using structured error maps

Abstract

Path tracing offers high-fidelity rendering but remains impractical for real-time applications due to slow convergence and noise. We present a dynamic foveated path tracing technique that leverages visual perception by reducing sampling towards peripheral regions. Our system achieves up to 25-fold performance gains on complex scenes at 4K resolution with minimal perceptual degradation. We validate its effectiveness using structured error maps across varying sampling rates and foveated region sizes, establishing a foundation for future research in perceptual photorealistic rendering.